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20212026
most citedStochastic Cyclic Inventory Routing with Supply Uncertainty: A Case in Green-Hydrogen Logistics

26 citations · 34 across the 12 of their papers we have counts for

collaborators

13 papers

cs.LG2026

CacheLink: Functional KV Transport for Zero-Prefill Cross-Model Context Handoff

Haomiao Qiu, Yining Tang, Zijia Song +3

KV caches make long-context serving efficient by reusing past computation, but model switching breaks this reuse and forces the receiver to prefill the context again. We study \emp…

math.OC2025

Constrained Reinforcement Learning for the Dynamic Inventory Routing Problem under Stochastic Supply and Demand

Umur Hasturk, Albert H. Schrotenboer, Kees Jan Roodbergen +1

Green hydrogen has multiple use cases and is produced from renewable energy, such as solar or wind energy. It can be stored in large quantities, decoupling renewable energy generat…

math.OC2025

Hydrogen Network Expansion Planning considering the Chicken-and-egg Dilemma and Market Uncertainty

Sezen Ece Kayacık, Beste Basciftci, Albert H. Schrotenboer +2

Green hydrogen is thought to be a game changer for reaching sustainability targets. However, the transition to a green hydrogen economy faces a critical challenge known as the `chi…

math.OC2024

Dual Sourcing of Green Hydrogen: Balancing Local Production with Stochastic Capacity and Import with Random Yield

Sezen Ece Kayacik, Albert H. Schrotenboer, Iris F. A. Vis +2

Green hydrogen is a critical component for achieving the European Union's 2050 net-zero emissions goal. However, ensuring a reliable and stable supply is challenging, particularly…

math.OC2024

On feasibility cuts for chance-constrained multicommodity network design problems

Niels A. Wouda, Ward Romeijnders, Evrim Ursavas

Problem definition: We study efficient exact solution approaches to solve chance-constrained multicommodity network design problems under demand uncertainty, an important class of…

math.OC2024★ 1 cited

Adaptive Multistage Stochastic Programming

Sezen Ece Kayacık, Beste Basciftci, Albert H Schrotenboer +1

Multistage stochastic programming is a powerful tool allowing decision-makers to revise their decisions at each stage based on the realized uncertainty. However, in practice, organ…

math.OC2023

Multi-period Stochastic Network Design for Combined Natural Gas and Hydrogen Distribution

Umur Hasturk, Albert H. Schrotenboer, Kees Jan Roodbergen +1

Hydrogen is produced from water using renewable electricity. Unlike electricity, hydrogen can be stored in large quantities for long periods. This storage ability acts as a green b…

math.OC2022★ 26 cited

Stochastic Cyclic Inventory Routing with Supply Uncertainty: A Case in Green-Hydrogen Logistics

Umur Hasturk, Albert H. Schrotenboer, Evrim Ursavas +1

Hydrogen can be produced from water, using electricity. The hydrogen can subsequently be kept in inventory in large quantities, unlike the electricity itself. This enables solar an…

math.OC2022

Reliable Reserve-Crew Scheduling for Airlines

Albert H. Schrotenboer, Rob Wenneker, Evrim Ursavas +1

We study the practical setting in which regular- and reserve-crew schedules are dynamically maintained up to the day of executing the schedule. At each day preceding the execution…

math.OC2022★ 3 cited

A two-step approach to Wasserstein distributionally robust chance- and security-constrained dispatch

Amin Maghami, Evrim Ursavas, Ashish Cherukuri

This paper considers a security constrained dispatch problem involving generation and line contingencies in the presence of the renewable generation. The uncertainty due to renewab…

math.OC2022

Towards Low-carbon Power Networks: Optimal Integration of Renewable Energy Sources and Hydrogen Storage

Sezen Ece Kayacık, Albert H. Schrotenboer, Evrim Ursavas +1

This paper proposes a new optimization model and solution method for determining optimal locations and sizing of renewable energy sources and hydrogen storage in a power network. W…

eess.SY2021★ 4 cited

Green Hydrogen Plant: Optimal control strategies for integrated hydrogen storage and power generation with wind energy

Arjen T. Veenstra, Albert H. Schrotenboer, Michiel A. J. Uit het Broek +1

The intermittent nature of renewable energy resources such as wind and solar causes the energy supply to be less predictable leading to possible mismatches in the power network. To…

eess.SY2021

An Integrated Optimization Framework for Multi-Component Predictive Analytics in Wind Farm Operations & Maintenance

Ilke Bakir, Murat Yildirim, Evrim Ursavas

Recent years have seen an unprecedented growth in the use of sensor data to guide wind farm operations and maintenance. Emerging sensor-driven approaches typically focus on optimal…